{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**复习：**学习完第一章，我们对泰坦尼克号数据有了基本的了解，也学到了一些基本的统计方法，第二章中我们学习了数据的清理和重构，使得数据更加的易于理解；今天我们要学习的是第二章第三节：**数据可视化**，主要给大家介绍一下Python数据可视化库Matplotlib，在本章学习中，你也许会觉得数据很有趣。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2 第二章：数据可视化"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 开始之前，导入numpy、pandas包和数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 加载所需的库\n",
    "# 如果出现 ModuleNotFoundError: No module named 'xxxx'\n",
    "# 你只需要在终端/cmd下 pip install xxxx 即可\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Ticket</th>\n",
       "      <th>Fare</th>\n",
       "      <th>Cabin</th>\n",
       "      <th>Embarked</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Braund, Mr. Owen Harris</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>A/5 21171</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>PC 17599</td>\n",
       "      <td>71.2833</td>\n",
       "      <td>C85</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Heikkinen, Miss. Laina</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STON/O2. 3101282</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>113803</td>\n",
       "      <td>53.1000</td>\n",
       "      <td>C123</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Allen, Mr. William Henry</td>\n",
       "      <td>male</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>373450</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0  PassengerId  Survived  Pclass  \\\n",
       "0           0            1         0       3   \n",
       "1           1            2         1       1   \n",
       "2           2            3         1       3   \n",
       "3           3            4         1       1   \n",
       "4           4            5         0       3   \n",
       "\n",
       "                                                Name     Sex   Age  SibSp  \\\n",
       "0                            Braund, Mr. Owen Harris    male  22.0    1.0   \n",
       "1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0    1.0   \n",
       "2                             Heikkinen, Miss. Laina  female  26.0    0.0   \n",
       "3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0    1.0   \n",
       "4                           Allen, Mr. William Henry    male  35.0    0.0   \n",
       "\n",
       "   Parch            Ticket     Fare Cabin Embarked  \n",
       "0    0.0         A/5 21171   7.2500   NaN        S  \n",
       "1    0.0          PC 17599  71.2833   C85        C  \n",
       "2    0.0  STON/O2. 3101282   7.9250   NaN        S  \n",
       "3    0.0            113803  53.1000  C123        S  \n",
       "4    0.0            373450   8.0500   NaN        S  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "text = pd.read_csv(r'result.csv')\n",
    "text.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.7 如何让人一眼看懂你的数据？\n",
    "《Python for Data Analysis》第九章"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2.7.1 任务一：跟着书本第九章，了解matplotlib，自己创建一个数据项，对其进行基本可视化"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "【思考】最基本的可视化图案有哪些？分别适用于那些场景？（比如折线图适合可视化某个属性值随时间变化的走势）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#思考回答\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2.7.2 任务二：可视化展示泰坦尼克号数据集中男女中生存人数分布情况（用柱状图试试）。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sex = text.groupby('Sex')['Survived'].sum()\n",
    "sex.plot.bar()\n",
    "plt.title('survived_count')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "【思考】计算出泰坦尼克号数据集中男女中死亡人数，并可视化展示？如何和男女生存人数可视化柱状图结合到一起？看到你的数据可视化，说说你的第一感受（比如：你一眼看出男生存活人数更多，那么性别可能会影响存活率）。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2.7.3 任务三：可视化展示泰坦尼克号数据集中男女中生存人与死亡人数的比例图（用柱状图试试）。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'count')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 提示：计算男女中死亡人数 1表示生存，0表示死亡\n",
    "text.groupby(['Sex','Survived'])['Survived'].count().unstack().plot(kind='bar',stacked='True')\n",
    "plt.title('survived_count')\n",
    "plt.ylabel('count')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "【提示】男女这两个数据轴，存活和死亡人数按比例用柱状图表示"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2.7.4 任务四：可视化展示泰坦尼克号数据集中不同票价的人生存和死亡人数分布情况。（用折线图试试）（横轴是不同票价，纵轴是存活人数）"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "【提示】对于这种统计性质的且用折线表示的数据，你可以考虑将数据排序或者不排序来分别表示。看看你能发现什么？"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Fare     Survived\n",
       "8.0500   0           38\n",
       "7.8958   0           37\n",
       "13.0000  0           26\n",
       "7.7500   0           22\n",
       "26.0000  0           16\n",
       "                     ..\n",
       "20.2500  1            1\n",
       "         0            1\n",
       "18.7875  1            1\n",
       "         0            1\n",
       "15.0500  0            1\n",
       "Name: Survived, Length: 330, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 计算不同票价中生存与死亡人数 1表示生存，0表示死亡\n",
    "fare_sur = text.groupby(['Fare'])['Survived'].value_counts().sort_values(ascending=False)\n",
    "fare_sur"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1296 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 排序后绘折线图\n",
    "fig = plt.figure(figsize=(20, 18))\n",
    "fare_sur.plot(grid=True)\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Fare      Survived\n",
       "0.0000    0           14\n",
       "          1            1\n",
       "4.0125    0            1\n",
       "5.0000    0            1\n",
       "6.2375    0            1\n",
       "                      ..\n",
       "247.5208  1            1\n",
       "262.3750  1            2\n",
       "263.0000  0            2\n",
       "          1            2\n",
       "512.3292  1            3\n",
       "Name: Survived, Length: 330, dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 排序前绘折线图\n",
    "fare_sur1 = text.groupby(['Fare'])['Survived'].value_counts()\n",
    "fare_sur1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1296 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(20, 18))\n",
    "fare_sur1.plot(grid=True)\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "scrolled": true
   },
   "source": [
    "#### 2.7.5 任务五：可视化展示泰坦尼克号数据集中不同仓位等级的人生存和死亡人员的分布情况。（用柱状图试试）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Pclass  Survived\n",
       "1       1           136\n",
       "        0            80\n",
       "2       0            97\n",
       "        1            87\n",
       "3       0           372\n",
       "        1           119\n",
       "Name: Survived, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 1表示生存，0表示死亡\n",
    "pclass_sur = text.groupby(['Pclass'])['Survived'].value_counts()\n",
    "pclass_sur"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1be2b660ac8>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.countplot(x=\"Pclass\", hue=\"Survived\", data=text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "【思考】看到这个前面几个数据可视化，说说你的第一感受和你的总结"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#思考题回答\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2.7.6 任务六：可视化展示泰坦尼克号数据集中不同年龄的人生存与死亡人数分布情况。(不限表达方式)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1be2bf11048>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 699.875x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "facet = sns.FacetGrid(text, hue=\"Survived\",aspect=3)\n",
    "facet.map(sns.kdeplot,'Age',shade= True)\n",
    "facet.set(xlim=(0, text['Age'].max()))\n",
    "facet.add_legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2.7.7 任务七：可视化展示泰坦尼克号数据集中不同仓位等级的人年龄分布情况。（用折线图试试）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1be2e921940>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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vaN+JjYGinf3uhkqPTCen0s7cjvhMqD0F1YX9KlMpd6CBRLmF0oZSYgJjHBvQPH0cmqohLqNfz0iPTCe/Jp/q5uqeNxOsW6xo95YagTSQKLdQUl/ieLdWkfUwqn62SNIi0gBst0qi08E7AAp29LynlJvTQKLcQmeLxCFFO8HLH6Im9+sZaZGWQHKg0sZm057eloH7ztlgSo0gGkjUsNfvxYjFu2DMjH4vHgzxCSEuKI7Dpw/bTpAwx7KWpLWxX+UqNdxpIFHDXr8WI7a3wqm9Dk/77S41PNX+KXcJc6GjDYptbDmvlBvTQKKGvX5N/S07CG1NA144OCl8Evk1+TS0NvS82RmcincPqGylhisNJGrY61yMGB3oQCDp3O49dsaAnjU5fDIGw5GqIz1vBkdDSJwGEjXiaCBRw15niyQmwIGurZJsy+yq8IGtNk4Nt5wsZ7d7a8xMDSRqxNFAooa9fi1GLNkP0Wng4TmgZ0UHRBPmG9ZLIJkBlUct61SUGiE0kKhhz+HFiMZYA0n6gJ8lIkwKn9R7iwQsA/pKjRAaSNSw5/BixOoCy7G4MVMH9bzUUakcrTra8wx3gFhrINHuLTWCaCBRw57DixFLrAdTxUwb1PNSI1Jp6WjhRPWJnjcDIyBsnAYSNaJoIFHDWr8WI5ZkAwLRUwb1zNRROuCuVFcuDSQiskxEDotIrog8ZOO+r4i8Yr2/TUQSrdeXiMhOEdlvff9Slzz/spa5x/oa7crvQQ1tnYsRHQsk+yBiAvgEDuqZiaGJ+Hr69h5IqvIspzAqNQK4LJCIiCfwBHA5MAVYKSLd/xW8C6gyxiQDvwEet16vAK42xkwFbqfnsburjDEzrK8yV30Pauj7YuqvI11bpdmDGmjv5OXhRUpYiv2tUsboOIkaWVzZIskEco0xx40xLcDLwPJuaZYDz1s/vwZcIiJijNltjCm2Xs8B/ETE14V1VcOUw4sRm6otrYRBDrR3So1I5VDVIYytg6xip1veNZCoEcKVgSQOKOjydaH1ms00xpg2oBqI6JbmemC3Maa5y7XnrN1aj4pDB1Aod+XwYsRS69bvgxxo75Q6KpXq5uovnn8W/zAIn6CBRI0Yrgwktv7Ad//3rdc0IpKGpbvrG13ur7J2eS20vr5i8+Eid4tIlohklZeX96viavhweDFiifWI3JjBd22BZc8tgIOnD9pOoAPuagRxZSApBBK6fB0PFNtLIyJeQChw2vp1PPAGcJsx5lhnBmNMkfW9FngRSxdaD8aYp4wxs40xs6OiopzyDamhp7ShlOiA6L4XI5buB/9wCI51ynMnjpqIIByu6mWcpKYI6vSfGOX+XBlIdgApIpIkIj7AzcDabmnWYhlMB7gB2GCMMSISBrwLPGyM2dKZWES8RCTS+tkbuArIduH3oIa4kvoSxwbayw5atkZxUk9ogHcA40LGceS0jc0bwbJVCsAp3VJeuT+XBRLrmMd9wAfAQeBVY0yOiPxERK6xJlsNRIhILvAA0DlF+D4gGXi02zRfX+ADEdkH7AGKgKdd9T2ooa+zRdIrY6D8MESlOvXZvW6V0jkWo2eTqBGgf0fE9ZMxZh2wrtu1x7p8bgJutJHvp8BP7RSb4cw6quGrczFiny2SmiJoroHRTg4koybxQd4H1LbUEuwTDEBTazvZRdXUNbdxYdgEvIt32RwIVMqduDSQKOVKDi9GLLO2Gvp5RntfOgfcj1QdISEgjT+sz2XNzgKaWjsA+K13NBdWbydr/ykuT3dgU0mlhikNJGrYcngxYrl1ZtVo5waSzrNJ3jm0k7c+PU1NYysrZsWxZEoMowK8kc93MfrwZzz2j094f/pkfrZiKoG++iun3I/+VKthy+HFiGWHIHA0BIQ79flR/lEEeIby0p7PSQxO5dVvXEDy6OAuKS6Gw7/kx7Nb+PbOYgqqGnj+zkxC/LydWg+lzjfdtFENWw6f1V5+0OnjIwB/35pPTXUUoaHlvHHP/G5BBOuAu3BVVBl/WpXB/sJqblu9nYYWG9vPKzWMaSBRw1bnYsQw3zD7ib6YseXcbq33s0t4bG0OCUHJtHmewtvLxlYpfiEQkQzFe1iWHsMfb5nFvsIz/L+X99DRYSO9UsOUBhI1bJU0lPS9GLG6AFrqnNoi2XWyiu+8vJsZCWF8a95CWjpayKvOs514zIwv1pIsS4/hh1dO4cMDpTz+gZ1pw0oNQxpI1LBVWu/AgVZOnrFVVtPE3X/bSUyoH8/cNpupUZYNrQ9V9bKlfE0R1Fk2qf7q/ERuvWAsf9l4nDd3FzmlTkqdbxpI1LDV2SLpVeeMrahJg35eW3sH9720m/rmNp6+bTYRQb4khibi4+Fjf0v5WOsKd+vCRBHhR1enkZkUzvdf38f+wupB10up800DiRqW2jvaKW8od6xFEhTtlBlbv/jwMNtPnOZnK6YyMdoysO7l4UXyqOReAollwL3rVinenh48uWoWkUG+3P1CFuW1zbbzKjVMaCBRw1JFYwXtpt2BNSSHnLI1yoc5Jfxl43FWzR3LtTPPPg0hNTyVw1WHbZ9N4htsHXA/eyfgiCBfnrotg6qGFr719520tHUMuo5KnS8aSNSw9MUakt66tjo6LDO2BrkQMb+yngfX7GVqXCiPXtXzvPdJoyZxuuk05Y12dvodM9PmnltpY0L5xQ3Tycqv4sdv5wyqjkqdTxpI1LDk0Kr26gJorR9Ui6S5rZ17X9yFhwh/WjULP2/PHmk6t0qxf4b7DKgthtrSHreunj6Gby2ewIvbTvL3rfkDrqdS55MGEjUsOdQiKbf+YR9Ei+T/3j9MdlENv7hhGgnhATbTTBw1EbDsuWVTbO9byn936SQunhTFj9fmsO145YDrqtT54lAgEZHXReRKEdHAo4aEkvoS/Dz9ej8ZsaxzxtbAWiSfHCpj9eYT3D5vHEvT7Ld8gn2CiQ+Kt98i6Rxwt7OlvKeH8LuVMxkbHsA9/9hFfmX9gOqr1PniaGB4ErgFOCoiPxcR5+83oVQ/lDaUEh3Yx2LE8kOWExH9e1n5bkdZTRMPrtlLakwwD1/Rd4smNTzV/swt32CITOn1kKsQP2+eum02BvjyX7ZyokKDiRo+HAokxpiPjTGrgFlAHvCRiHwmIl+1nlSo1DlVUl9CTEBfU38PDqg10tFhuP/VPTS0tPHHW2baHBfpbmL4RPJr8mlobbCdIHZGn4dcJY8O4sWvz6WlvYObn/qco6W1/a67UueDw11VIhIB3AF8DdgN/A5LYPnIJTVTqhedLRK7Ojqg4siAxkf+/OkxtuRW8uOr03puxGhH6qhUDIajZ47aTtDLgPtZ5cSE8NLXL6C9A1Y8+Rmbj1b0t/pKnXOOjpH8E9gEBABXG2OuMca8Yoz5DyDIlRVUqrvOxYi9DrSfyYfWhn63SPYUnOFXHx7hymmxfHlOgsP5Os8msdu9NWam5d2BM9wnxQTz5r0XEhfmz+3PbefFbScdrodS54OjLZJnjDFTjDE/M8acAhARXwBjzGx7mURkmYgcFpFcEXnIxn1fEXnFen+biCRary8RkZ0ist/6/qUueTKs13NF5Peix86NOA4tRhzAjK2m1nYeeHUP0cG+/O91U/t1omFMYAwhPiF9nOFuf8C9u/hRAaz55jwWpkTygzf285O3D9DWrosW1dDkaCCxdX76571lEBFP4AngcmAKsFJEuq/muguoMsYkA78BHrder8DS8pkK3A680CXPk8DdQIr1tczB70G5iZIGB9aQlPV/j61ffnCY4+X1PH7DNEL9+zf0JyJMCp/Uy4B7kGXAvdsK994E+3nzzG2zuXN+Es9uOcHX/pZFTVNrv+ql1LnQayARkRgRyQD8RWSmiMyyvhZj6ebqTSaQa4w5boxpAV4GlndLsxx43vr5NeASERFjzG5jTLH1eg7gZ229xAIhxpjPjWU/ir8B1zr6zSr3UFrv4BqSkDjw62V6cBfbT5xm9ZYT3HrBWBamRA2oXpNGTeLomaO0d7TbThA7w6Gura68PD147Oop/GzFVDYfrWDFnz6j4LSdAX2lzpO+WiSXAb8E4oFfA7+yvh4AftBH3jigoMvXhdZrNtMYY9qAaiCiW5rrgd3GmGZr+sI+ylRuzqFV7f2YsdXY0s531+wlYVQAD18+8MWLqeGpNLY1crLWzpjGmJlQewpqS/pd9srMsbxw11zKa5v58l8+52SlBhM1dPQaSIwxzxtjLgbuMMZc3OV1jTHmn32UbauDufuudr2mEZE0LN1d3+hHmZ157xaRLBHJKi+3sweSGpZKG0rx9/InxCfEdoKO9n7N2Hrik1xOnm7g59dPJdDXa8D16hxw73WrFHB4nKS7eRMiePHrc6lvaWfl01spOtM4oHKUcra+urZutX5MFJEHur/6KLsQ6DrtJR4otpdGRLyAUOC09et44A3gNmPMsS7p4/soEwBjzFPGmNnGmNlRUQPrqlBDU0l9HycjVuVBW5NDLZLj5XU89elxrpsZx4UTIgdVr/Fh4/H19CW7Itt2gpieW8r3V9qYUP7xtbnUNLbyteezqG/W89/V+ddX11ag9T0ICLbx6s0OIEVEkkTEB7gZWNstzVosg+kANwAbjDFGRMKAd4GHjTFbOhNbZ4zVisgF1tlatwFv9VEP5WZK6kuIDYy1n8DBGVvGGH60NgdfLw8evmLwmzV4e3gzOXwy+yv2207wxYD7wAMJQHpcKH+4ZSaHS2p48NW9trevV+oc6rUdb4z5i/X9v/pbsDGmTUTuAz4APIFnjTE5IvITIMsYsxZYDbwgIrlYWiI3W7PfByQDj4rIo9ZrS40xZcC3gL8C/sB71pcaQYrqilicsNh+AgdnbK0/WMamoxX86OopjA72c0rdpkZNZc3hNbR2tOLtYWPm15iZcOLTQT9n8aTRPHz5ZP5n3UH+se0kt14wbtBlKjVQji5I/D8RCRERbxFZLyIVXbq97DLGrDPGTDTGTDDG/I/12mPWIIIxpskYc6MxJtkYk2mMOW69/lNjTKAxZkaXV5n1XpYxJt1a5n1G/x0bUZramqhsqmRM0Bj7icoPQWiCZY8rO9o7DP/3wSGSIgOd+kd4auRUmtqbyK3KtZ0gdsaAB9y7u2tBEgtTIvnvdw6QW1Y36PKUGihH15EsNcbUAFdhGaeYCHzPZbVSyo7iesuQWK+BpKzvUxH/uauQI6V1fHfpJLw9nbep9dTIqQD2u7e+GHB3fD2JPR4ewq9unI6ftyePvLFfu7jUeePob1BnG/0K4CVjzGkX1UepXp2qOwVAXJCdWd9fzNiyH0ha2jr47cdHmRYfyhVT+9j4sZ/iguIY5TvKfiCJnQHiCYU7nPK80SF+fH9ZKttOnObNPUVOKVOp/nI0kLwtIoeA2cB6EYkCmlxXLaVsK6qz/LG0O9h++gS0N0OU/YH2N3YXUnSmkQeWTOzXNiiOEBHSI9Ptz9zyCbCcT1Kw3WnPvHlOAtMTwvifdw9S3agr39W55+g28g8B84DZxphWoJ6eq9SVcrniumK8PLyI8rczpbvcOtBup0XS3mH488bjpI0J4aKJrpkWPjVqKsfOHKO+1c6ZIglzoWgntDvnj76Hh/DT5elU1LXw1KfH+s6glJP1p3N4MvBlEbkNy1Tdpa6pklL2FdcVExsYi6eHnTNCyqxTfyNtz9h6P7uEExX13LM42emtkU5TI6diMORU5NhOkJBp2Zm4xE7310CeGR/KNdPH8OzmPMpqtLNAnVuOztp6ActWKQuAOdaX3V1/lXKV4vriPmZsHYSwsZY1G90YY/jLp8cYHxnIsnTnjo10NTVyKoKwq2yX7QQJF1jendi9BfDAkom0tnfwhw12Zowp5SKOtkhmA/ONMfcYY/7D+vq2KyumlC3FdcWMCexrxpbt8ZE9BWfYV1jNV+cn4unhutMHQn1DmThqIjtLd9pJEAch8VCwzanPTYwM5ObMBF7afpLCKt2LS507jgaSbMB1/8Ip5YDm9mbKG8vtt0jaW3udsfXC5/kE+Xpx3ax4m/edKSM6g73le2ntsDMOkpDp9BYJwD2LkwF4ZtMJp5etlD2OBpJI4ICIfCAiaztfrqyYUt31OfX39HHoaLXZIqmsa+adfadYMSuOoEFszOg840RDAAAgAElEQVSojOgMGtsaOVB5wHaChLlQUwjVhbbvD9CYMH+umxnHS9tPUlHX7NSylbLH0d+oH7uyEko5os/FiGX2Z2y9mlVIS3vHOdtKJCM6A4CdpTuZHjW9Z4KETMt7wXYIdW4L6ZuLJ/DarkKe23KC7102+D3ElOqLo9N/NwJ5gLf18w7AzkiiUq7RuYbE7hhJ+SFAeszYMsbwalYBmYnhTIzua69R54jwjyApNMn+OEnMVPAOcEn31oSoIC5Pj+Fvn+friYrqnHB01tbXsZxg+BfrpTjgTVdVSilbCmoK8PHwITrQzsmIZQdhVKJl0V8XewrOcKKinuszzu0ZaBnRGewq3WX7xERPb4jLgPwtPe85wT2Lk6ltauPFbXYO2VLKiRwdI7kXmA/UABhjjgKjXVUppWzJr8knITgBD7HzY1t+yObW8W/sLsLXy4PLp/ay9bwLzI2ZS11rHdmVdla5Jy60rCVpcP6OQ+lxocwbH8Hzn+XR2t7h9PKV6srRQNJsPXcd+OIQKt0hTp1TJ2tPkhCSYPtmWwtU5vbYrLGlrYO39xazZEo0IX42tnV3oXlj5uEhHmwu2mw7QdIiwLisVXLngiROVTfxQc7gdxpWqjeOBpKNIvIDwF9ElgBrgLddVy2lztZhOiioLWBcsJ3B8spc6Gjr0SLZeKScqoZWVsw6t91aYFlPMjVyKluK7ASKuAzLOMmJTS55/pdSRzMuIoDntuS5pHylOjkaSB4CyoH9WM5PXwf80FWVUqq7soYymtubGRsy1naCzj22urVI3thdSESgDwtTzs9xy/Pj5pNdkU1VU1XPm14+MPYCpxx0ZYunh3D7vER25lexp+CMS56hFDg+a6sDy+D6PcaYG4wxT+uBUupcOlljGTS2G0jKDoF4QOTELy41tLSx4VAZV06LdeqZI/2xYMwCDIbPij+znSBpkSUI1pW55Pk3zo4nyNeL57boAkXlOr3+donFj0WkAjgEHBaRchF57NxUTymL/Np8APtdW+UHYVQSeP/7yNyNh8tpau1w6b5afUmLTGOU7yj74ySJiyzvLmqVBPt5c9PsBN7dd4pS3cxRuUhf/6b9PyyzteYYYyKMMeHAXGC+iNzfV+EiskxEDotIrog8ZOO+r4i8Yr2/TUQSrdcjROQTEakTkT92y/Mva5l7rC+dPTYCnKw52cfU354ztt7LLiE80IfMxPBzUEPbPMSDhfEL2Vi4kVZb28bHTgffEMhzzTgJwB0XJtJuDC98nu+yZ6iRra9Achuw0hjzRbvYeq76rdZ7domIJ/AEcDkwBVgpIlO6JbsLqDLGJAO/AR63Xm8CHgW+a6f4Vd3Pclfurdepv62NcPrYWYGkua2dDYfKWDolGq/z1K3V6bLEy6htqeXzU5/3vOnpBePmw/F/gYt6i8dGBHDp5Gj+sS2fplYba1qUGqS+fsO8jTEV3S8aY8r59/G79mQCucaY49apwy/T8zCs5cDz1s+vAZeIiBhj6o0xm9FTGJXVyZpepv6WHQTTAdHpX1zakltBXXMbl53Hbq1O82LnEewdzId5H9pOkHwJVOVZZp65yJ3zk6hqaOXN3Xocr3K+vgJJywDvgWX1e0GXrwut12ymMca0AdVARB/lAjxn7dZ6VFx1OpEaMlrbW8mvyWdC6ATbCUqtB0jFTP3i0nv7Swj29WL+hMhzUMPeeXt6c/HYi9lQsMF291aK9Yy4Ix+4rA4XjA8nNSaY57bkofNklLP1FUimi0iNjVctMLWPvLb+wHf/CXYkTXerjDFTgYXW11dsPlzkbhHJEpGs8vLyPopUQ1l+TT5tpo0JYfYCSbZlPcaoRMBynO7HB0u5ZPJofLzOb7dWp167t0aNs0xbPuq6QCIi3LkgicOltXx+rNJlz1EjU6+/ZcYYT2NMiI1XsDGmr66tQqBrX0Q8UGwvjXW1fCjQ634Rxpgi63st8CKWLjRb6Z4yxsw2xsyOijo/awiUcxyrtpxDnhyWbDtBaQ6MngLW43ezi6qpamjl4tShMw9jXuw8wnzDWHvMzukLEy+D/M+gqcZldbhm+hgiAn14VqcCKydz5b9rO4AUEUkSER/gZqD7b9Fa4Hbr5xuADb2tTxERLxGJtH72Bq7CcuiWcmPHzhzDQzxICk3qedMYy35VMf8eH9l01NICXZB8/ru1Onl7enPV+KvYcHIDZ5psLA5MucyyMv/4Jy6rg5+3J7fMHcv6Q2XkV9a77Dlq5HFZILGOedwHfAAcBF41xuSIyE9E5BprstVAhIjkAg9gWUEPgIjkAb8G7hCRQuuML1/gAxHZB+wBioCnXfU9qKEh90wu8UHx+Hn59bxZUwxNZ84aaP/0aAXpcSFEBPmew1r27bqU62jtaOWd4+/0vJkwF/xC4YidAXknufWCcXh5CH/9LM+lz1Eji0uPijPGrMOynUrXa491+dwE3Ggnb6KdYjOcVT81PBw7c4zxYeNt3yy1NkitgaSuuY1d+VV8fZGd9OfRxFETSY9I5/Wjr7Nq8irOmifi6WVplRxeZzky2NM1G0xGh/hx5dRY1mQV8sCSiQSf440slXsaGiORStnR3N7MyZqTpISl2E7wRSCxLFHaeqyStg7DwpSh063V1YqJK8g9k8ue8j09b6ZdB42n4cRGl9bhq/OTqGtuY02Wc4/5VSOXBhI1pB05fYQ208aUiO5rWa1KsiFsrKVbCMv4iL+3JxnjRp3DWjruyqQrCfYJ5oUDL/S8mXyJZZV79hsurcP0hDAyxo3i+c/zaO/QqcBq8DSQqCHtQOUBAPuBpDQbov89E33T0QouGB+Or5fnuahevwV4B3DDxBtYf3I9xXXdJjF6+ULqlXDobcv5Ki701fmJ5Fc2sOGQbgyhBk8DiRrSDpw+QJhvGLGBNk43bG20rAaPTgOg4HQDxyvqz9uW8Y66JfUWBOHFgy/2vJm2ApqqXTp7C+CytBhiQ/10V2DlFBpI1JB2oPIAUyKmYHMDg5Jsy9YosdMB2Jxr2c1n0cShOT7SKSYwhiXjlvD60depb+02DXf8YvALg/1rXFoHb08PbpuXyGfHKjlU4rq1K2pk0ECihqzm9mZyq3Ltd2sV77a8j5kJWMZHYkP9mBAVdI5qOHBfmfIV6lrreDP3zbNvePnA1BvhwFpotHEYlhOtzEzAz9uD5zbnufQ5yv1pIFFDVnZFNm2mjfTIdNsJindDYBSEjKG9w7D5aAULUyJtt16GmGlR05gRNYMXDrxAW0fb2Tczbof2Ztj3qkvrEBbgw3Uz43lzTxGn6107JqPcmwYSNWTtLN0JQMZoO0uHTu2xtEZE2Fd4hpqmtiE/PtLVHWl3UFRXxPqT68++ETPV8n3tfN5lW8t3unN+Is1tHby0/aRLn6PcmwYSNWRllWSRMiqFML+wnjdb6qH8UJdurQpEYP4Q2halL4sTFjM2eCzP5zzfc0feWbdBWQ4UbHdpHVKig1mYEsnfPs+jtb3Dpc9S7ksDiRqSWjta2VO+x35rpGS/daB9BmAZH5kaF0p4oM85rOXgeHp48pUpX2F/xX52l+0+++bUmyxrYz7/o+3MTnTn/CRKa5pZt/+Uy5+l3JMGEjUk5VTk0NjWSEaMnUDSZaC9tqmVXSfPDNnV7L1ZnrycMN8wns95/uwbvkEw+y44+DacPu7SOlw0MYrxUYGs3nxCzypRA6KBRA1JnxZ+iqd4Mi92nu0ExXsgKAZCYvn8WCXtHWZYjY908vfy56ZJN/FJwSfk13Q7U33uN8DDCz5/wqV18PAQvjo/iX2F1ezMd+1MMeWeNJCoIemTgk+YOXomob6hthMU74Yxnd1aFQT4eDJr7NDcFqUvK1NX4uXh1XPblOAYmH4z7HoBql27L9b1s+II9fdm9WZdoKj6TwOJGnLyqvPIPZPL4oTFthM0VkHFYYizdHttOlrOvPERQ+Y0xP6K9I/k6glX82bum1Q1dWsRXPSfgIF//dyldQjw8WJl5lg+yCmh4HSDS5+l3M/w/M1Tbm3tsbV4iAeXJ11uO0FhluU9YS4nKxvIq2wYluMjXd025Taa25t55fArZ98IG2sZK9nzDyg/4tI63H7hODxEzypR/aeBRA0prR2trD22lgvHXMjoADtH5Z7cCuIJ8bPZlGs5DXHhxOE3PtLVhLAJLIxbyEuHXqK5vfnsmwsfBO9AeP/7Ll1XEhvqzxVTY3llRwG1Ta0ue45yPxpI1JCy7vg6ShtKWZm60n6igm2WRXs+gWw6UkFcmD/jIwPPXSVd5I60OzjddJp3jnU7QTEoCr70Qzi2AXJcu8X8nQv0rBLVfxpI1JDR2NbIk3ufZNKoSSyMW2g7UXurpWtr7AW0tXew5djw2RalL3Ni5jBx1EReOfxKz2m4c75m2Zzy/Yeh4bTL6jDDelbJc5+d0LNKlMNcGkhEZJmIHBaRXBF5yMZ9XxF5xXp/m4gkWq9HiMgnIlInIn/slidDRPZb8/xe3OEviALgNzt/Q1FdEd/P/L79wFCyD9oaISGTvYXV1A6zbVF6IyLcNPEmDp4+SE5lztk3Pb3gmj9AQyWs/Q+XdnHdtSCJgtONfHSg1GXPUO7FZYFERDyBJ4DLgSnAShHpvo3rXUCVMSYZ+A3wuPV6E/Ao8F0bRT8J3A2kWF/LnF975Qqt7a1UNFZQ21J71vWmtiZ+nfVrXjr0El+Z8hXmxMyxX8jJbZb3hAvYdLTcui1KhAtrfW5dOf5K/L38efWwjQ0bY6fDpT+CQ+/AzudcVoelU6KJC/PnWZ0KrBzk5cKyM4FcY8xxABF5GVgOHOiSZjnwY+vn14A/iogYY+qBzSKS3LVAEYkFQowxn1u//htwLfCeC78PNUgna07yu12/Y2Phxi8GkoN9gokOiMbX05f8mnzqWuu4aeJNPJjxYO+F5W2GsHEQGsfmo58xLT6MsIDhsy1KX4J8grgi6QrWnVjHd+d8lxCfkLMTXHCvZazkvYcsJ0Mm9BJ0B8jL04Ovzk/kp+8eZH9hNVPj7azlUcrKlV1bcUBBl68LrddspjHGtAHVQG//XsZZy+mtTABE5G4RyRKRrPLy8n5WXTnL9lPbuemdm9hSvIXrU67nkbmP8GDGg1yRdAWJIYmE+YZxRdIVPHfZczw671E8PXo5Ire9DfI2wYSLqWlqZXfBGRYN82m/ttw46UYa2xp7DroDeHjAimcgJBZevgXOFPRM4wQ3zUkg0MeTZ/UEReUAV7ZIbHVyd+/YdSTNgNIbY54CngKYPXu2jhqeB8erj/PtT75NTEAMT176JLFBNo7L7Y/i3dBcA+MXD+ttUfqSFpFGekQ6a46sYWXqyp7jRYERsPIVWL0EXvwyfHUd+NvYIXkQQvy8uXF2An/fms9Dl6cSHeLn1PKVe3Fli6QQSOjydTxQbC+NiHgBoUBvU1IKreX0VqYaAto72nl086N4eXjx5yV/HnwQATj+L8t74iI2HS0n0MeTmWOd+wd0qLhx0o3knsllX8U+2wlGp8JNz0PFEUswaam3nW4Qvjo/kXZj+NvneU4vW7kXVwaSHUCKiCSJiA9wM7C2W5q1wO3WzzcAG0wv248aY04BtSJygXW21m3AW86vuhqsNUfWsK9iHz/I/AExgTHOKfT4vyBmGgRGsOloBfMmROLt6Z4z2C9LvAx/L/+eR/F2NeFLcP0zULgdXrkV2prtpx2AcRGBLJkczYvbTtLY0u7UspV7cdlvoXXM4z7gA+Ag8KoxJkdEfiIi11iTrQYiRCQXeAD4YoqwiOQBvwbuEJHCLjO+vgU8A+QCx9CB9iGnub2Zp/c9zazRs+xvc9JfjVVw8nNIvoT8ynry3WBblN4EegeyZNwS3j/xPk1tTfYTpl1rmRZ8bAO8fpdlHMmJ7lqQRFVDK2/sLnJqucq9uPTfOWPMOmPMRGPMBGPM/1ivPWaMWWv93GSMudEYk2yMyeyc4WW9l2iMCTfGBBlj4o0xB6zXs4wx6dYy7+utBaPOj38e/SdljWXcO+Ne5y0UPPIhmHZIvYpNRysA3DqQACyfsJy61rqeR/F2N/NWWPZzy9klb3/HqWtMMpPCSRsTwrNb9KwSZZ979guo88YYw4sHX2Ra5DQyYzOdV/Chdyznj4yZxadHyokL8yfJDbZF6c3smNnEBcX13r3V6YJvwUUPwZ6/w8c/dlodRIS7FiSRW1bHxiM6+1HZpoFEOdX2ku3k1eTx5dQvO6/Q1ibIXQ+TLqfVwGfHKlk00T22RemNh3iwfMJytp3axqk6B47BXfyQZafgLb+Fz/7gtHpcNW0Mo4N99awSZZcGEuVUrx95nVDfUJaOW+q8Qo9+AK31MPkqduVXUdfcxkUT7ewM7GauSb4Gg+GtYw7MKRGBK34BU66FD38Ie192Sh18vDy4bd44Nh2t4Ehpbd8Z1IijgUQ5TUNrA/8q/BeXjbsMPy8nrjvY8yIEx8L4i9l4pBxPD+FCN9oWpTdxQXFkxmTyVu5bjo1ReHjCiqcgaZFlT66CHU6pxy1zx+Hr5cFzukBR2aCBRDnNp4Wf0tjWyLIkJ25/VlcGRz+CaV8GD08+PVpOxthRhPh5O+8ZQ9y1yddSWFfIztKdjmXw8oUbn4eQMZZpwTUOdIv1ITzQhxWz4vjnriJO17cMujzlXjSQKKd5P+99ovyjmDV6lvMK3bHaMltr5q2U1zaTXVTDRZPcbzV7by4ZewmB3oGODbp3CgiHm1+C5lqnrTG5c34SzW0d/GNr/qDLUu5FA4lyirqWOjYVbmJp4tLe98vqj5YG2PE0TLwcIlPYdNQya+iiYX4aYn8FeAewLHEZH+Z/SH1rP1awR0+B656EoixY/5NB1yMlOphFE6P429Z8mtt0gaL6Nw0kyik2Fm6kpaOFZYlO7Nba8Yzl/I0L/8PyjCPlRAT6MCU2pI+M7ufa5GtpbGvkw7wP+5dxynLLoVif/xFyPx50Pb62IIny2mbW7tGdidS/aSBRTrGxcCPhfuFMi5r274t5m+G1O+EPGfCH2bDmDjj4jmOrr+vKYOP/QcplkDif9g7Dp0fKWTQxCg8P9572a8v0qOkkhiTyRu4Ajtpd+lMYPQXe+BbUDW4tyMKUSFJjglm9WRcoqn/TQKIGra2jjS1FW1gQtwAP8YDWRnjzXvjrlXB8I4yeDFGTIP8zeGUVPJEJB9baX4Hd0QFv3QvtzXDZ/wCwv6iaqoZWFk1079Xs9ogI16Vcx+6y3eRV5/Uvs7c/XL/asnPyIFe+dy5QPFRS+8UOA0ppIFGDtr9iPzUtNSyKX2QZ1H35FssK64Xfhfuz4ct/h5v/AfcfsHz29IFXvwKrl1oWGnb9w9bWAu98B45+CJf9L0SmAPDRgRI8PYTFI2T9iC1Xj78aT/Hs36B7p+gpcPEP4PC7kPPPQdXjmhljiAr25elNx/tOrEYEDSRq0D4t/BRP8eTCMRfCOw9YNhC85o9wyaOW/4Y7eXrB5Kvhm5vh6t9DTRH8fQX8eSF8+KhlQPjJC2HX3yxBaM7Xvsj60YFS5iSOYlSg+5yG2F9RAVEsjFvI2mNraesYwOaMF9wLY2bBuv+E+oG3Jny9PLnjwkQ2Ha3gcIkuUFQaSJQTbCrcxMzRMwk+uM7SEln0PZj1FfsZPL0g43b49m646rfg7Qdb/wSbfwt+obDyZUsQsm6BkldRz5HSOpZMcdJ29MPYtcnXUt5YzmfFn/U/s6cXLH8Cmqrhve8Pqh63ZI7Fz9uDZ7RVotBAogappL6Ew1WHWRQ1C9Z9F8bOs2we6AgvX5j9Vfjax/BoBfywDL5u2VOrq48OlAKwdEq0s6s/7CyKX0S4X/jAurfA0sW16HuQ/RocWjfgeowK9OHGjATe2lNMWW0v29yrEUEDiRqUTUWbAFh0YodlkP2aP1r+8+0vEbv5PjpQSmpMMAnhAYOpqlvw9vTmqvFX8UnBJ5xu6u0w0V4suB9Gp8G7D0JTzYDrcteCJFo7OvjbZ7pAcaTTQKIGZVPhJuL8Ihmf/RZceB9EJju1/Mq6ZrLyT7M0Tbu1Ol2bfC1tHW28e/zdgRXg5WM5DKv2FKz/rwHXIzHScoLi37fl09Di3AO11PCigUQNWEt7C1tPbWVBUzMSFG0ZIHeyjw6U0mG0W6urlFEpTI2cyhu5bwx8LUd8Bsz9pmULmpPbBlyXb1w0gTMNrfxj68kBl6GGP5cGEhFZJiKHRSRXRHp0nIuIr4i8Yr2/TUQSu9x72Hr9sIhc1uV6nojsF5E9IpLlyvqr3mWVZtHY1siikmMw7z7wDXL6M9buLSYpMpC0MSNvNXtvrk2+lqNVR8mpzBl4IV/6IYTGW3YJHuBeXBnjRjE/OYK/fHqcplbdNmWkclkgERFP4AngcmAKsLLLueud7gKqjDHJwG+Ax615pwA3A2nAMuBP1vI6XWyMmWGMme2q+qu+bS7ajA/CHONnGTR3stKaJj4/Xsk108e4/SFW/XV50uX4e/nz8qFBnDniGwRX/QYqDsPm3wy4mG9/KYWKumZe2q6tkpHKlS2STCDXGHPcGNMCvAws75ZmOfC89fNrwCVi+YuxHHjZGNNsjDkB5FrLU0PIpvz1zGlowH/uN8A32Onlv723GGMsC+DU2YJ9grlmwjW8d+I9qpqqBl5QyhJIvwE2/QrKDw+oiLnjI8hMCufPG49pq2SEcmUgiQMKunxdaL1mM40xpg2oBiL6yGuAD0Vkp4jc7YJ6KwcU1BaQV1/MwpYOS1+7C6zdW8zUuFAmRDm/y8wd3DzpZlo6Wvjn0cGtVGfZz8EnENZ+27I9zQB855IUSmuaWbOzcHB1UcOSKwOJrb6I7iOD9tL0lne+MWYWli6ze0Vkkc2Hi9wtIlkiklVePriN6lRPm4+uBWBB8tWWsy+cLLesjn2F1SzX1ohdyaOSyYzJ5JXDrwxspXunoCjLdjQFW2HnswMq4sIJEWSMG8UTG3K1VTICuTKQFAIJXb6OB7rvPf1FGhHxAkKB073lNcZ0vpcBb2Cny8sY85QxZrYxZnZU1Mg6v+Jc2HzoNRJa2xi3cHArpO15aftJvD2F5TO6N2JVV7ek3sKp+lNsLNw4uIKmr4Txi+GjH0NN/7eIFxG+d9kkSmqaeFaP4x1xXBlIdgApIpIkIj5YBs/XdkuzFrjd+vkGYIOxzGdcC9xsndWVBKQA20UkUESCAUQkEFgKZLvwe1A2NJ85yfbmchYGjbMc5+pkTa3tvLazkMvSYogK9nV6+e7kooSLiAmM4cWDLw6uIBHLwHtHG7z73QHtEHzB+AgunTyaJz85RmXd4E9kVMOHywKJdczjPuAD4CDwqjEmR0R+IiLXWJOtBiJEJBd4AHjImjcHeBU4ALwP3GuMaQeigc0ishfYDrxrjHnfVd+Dsi1r009p8hAWTL/TJeW/u+8U1Y2trJo7ziXluxMvDy9uSb2F7SXbya4Y5P9U4ePh4octOwQf7P4/n2O+vyyV+pY2/rAhd3B1UcOKjITDaWbPnm2ysnTJiVM0VvH4s5msCfJn86rt+Hn5ObV4YwzLn9hCXXMb6x+4SKf9OqCupY6lry8lMyaT317828EV1t4GT18MdaVw73bwD+t3EQ//cz9rsgr48P5FjNeJEsOaiOx0ZJmFrmxX/WK2PcUnvl7MiZzu9CACsDm3gn2F1dy9cLwGEQcF+QSxMnUl60+u5/iZQe7G6+kF1/we6svhg0cGVMT9S1Lw9/bk0bey9RTFEUIDiXJcSz1Hdj5FkbcXl6Zc65JH/OmTY0SH+HLdLB1k749Vk1fh5+nH6uzVgy9szEzLxo57/g77X+t39tHBfvznsklsya1k7V49230k0ECiHLfzeT72bMUDYXHCYqcXvyPvNJ8fr+RrC8bj6+XZdwb1hXC/cG6cdCPvHH+HY2eODb7AxT+AhAssR/NW9H+845a545geH8p/v3OA6obWwddHDWkaSJRjWptgy+9YHxbJzOhZRPhHOLX4jg7DT985QEyIH6suGOvUskeKr0/9OgFeAfxu1+8GX5inF9ywGjy9Yc0d0NLQv+wewv+umEpVQyuPrdWJle5OA4lyzO4XONlUwVFp5ZKxlzi9+Lf2FrG3sJrvXTaJAJ8BnGeiGOU3ijvT7+STgk/YXbZ78AWGxsN1T0FpNrz5zX6vek8bE8r/uySFt/YU8+buosHXRw1ZGkhU39paYPNv+XDMJACnB5LT9S38z7sHmRYfynUzdWxkMG6dcitR/lH8Yscv6DAD2+7kLBOXwtL/hgNvwSc/7Xf2ey5OZk7iKH74ZjYFp/vXqlHDhwYS1be9L2JqCnk7KICZo2cyJsh5ixCNMfzwzf1UN7by+PXT8PDQmVqD4e/lz/0Z97O/Yj+vHH7FOYXOuw8y7rBs7LjtqX5l9fQQfn3TDETg7hd2Ut+sB2C5Iw0kqnetTfDpLzkQN5XjjaVcPeFqpxa/evMJ1u0v4YElk5gcq2eOOMNV469iXuw8frfrd5TUlwy+QBG44peQehW89z3LYVj9kBAewO9XzuRwSQ0PvrqXjg6dEuxuNJCo3m37M1QXsDZxBj4ePiwdt9RpRb+zr5j/XXeQy9Nj+Mai8U4rd6QTER6d9yjtHe08svkR2jucsImipzfc8BxMXAbvPgBbn+xX9osnjeYHV0zm/ZwSHn//kK4vcTMaSJR9Dadh069pTF7Cu5V7WJywmFDfUKcU/fL2k3zn5T3MHhfOr26arl1aTpYQnMAjFzzC9pLtPLHnCecU6uUDN/3N0jJ5/yF47yHoR5C6a0ESt14wlr98epzffHzUOXVSQ4JOj1H2ffK/0FLLO6kXUZ3zFCtTVw66yJqmVv733YO8vKOAhSmRPHlrhs7ScpFrk69lV+kunt7/NMlhyVwx/orBF+rlawkmH/4Qtv7JcrridU9ZtqLvg4jwk2vSaWnr4PfrLYHk/ktTdAcDN6C/wcq2gu2w4xnMnK/xj8L1TA6fTEZ0xlWwFYkAABAZSURBVICLa2hpY01WIX/YkEtlfTPfvGgC37tsEp7aEnGpH8z9AQW1BTyy+RF8PX25ZJwTZtx5eMKyn0HkRHjv+/Dn+XDtk5Dcd9keHsLPVkyjw8Dv1x+lsKqBn62YqgtQhznt2lI9tbVYTssLGcOmKUs4Vn2MVZNX9fs/x/YOw9bjlfzwzf1c+PMN/GhtDokRAay9dwEPXZ6qQeQc8PPy4w9f+gNTIqZw/7/u56/Zf3XOtGCA2V+Fr28Av1D4+wr4591QX9FnNk8P4Rc3TOP+Syfyz11FrHp6G4VVOjV4ONPdf1VP730ftv2ZjpUv8+Ujz1LXUsfaa9fi7endZ9bW9g62HT/NBzklfJBTQlltM/7enlwyeTR3XJjI7ETnn6ao+tbY1sgjmx/ho/yPyIjO4HtzvkdaRJpzCm9tgk2/hM2/tRzZu/BByLwbvPve1HPt3mIefn0fHiL81/I0rpsZp11dQ4iju/9qIFFny3kT1twOc7/F2xPn84PNP+DnC3/OleOvtJulrb2DTUcreHtvMesPlVHd2Iq/tycXTYziymmxXDJ5tI6DDAHGGN7IfYNfZv2S2pZaZkTN4OKxF5MWkca4kHGE+obi5+k38D/kZQctOwYfWw8hcXDR9y0nL3r59JrtZGUD97+6h535VWQmhvPY1VNIj3POpA41OBpIutBA4qCC7fC35TB6CqdXvsi179xIQnACL1zxAh7Ssxf0WHkda7IKeWN3IaU1zYT6e3Pp5GguS4tm0cQo/Ly133soqm2p5fUjr/PO8Xc4XHX4rHteHl4EeAUQ4B1AgFcA/l7+BHgHEOgdSHxQPIkhifz/9u48OMr7vuP4+yuttKD7QAJdIDAyCF8cLgY7rZ0E18RmTJx4Bpy29iRkXKdxcTvptKaezrjt9JocjjNtknF91HZdkpqYmNpNfDt23JjThnAIJINBC0IS1n0hrfbbP54feCVWILNon8fD9zWz7D7X7offap/vPsc+v+r8amYXzB77emuH3oJXH4Sj2yG3HJZ8w/tB46Sxfyc0HFN+urWR7768n496B1lWW8ofX38JV88otC0UH1khiWOFZBwi27393JMLiX31F6zd+g+8c+wdnl3xLLMLZ5+ebWBomBd3NbF+yxG2HW4nPU347JwSbl9UxefmlpIZssNunyYn+k9Q315PpCdC18kuuge76Yv20R/tp2+o7/TjrsEuIt0R+qP9p5ctmlRETUENNYU1zC6Yffo+KyPL66q34TV45/vw4dsQzoMFf+gVlJI5Y+bpGhjisbcP8dRvPqS9b4jasjy+tKCClfPLKc278P3fmLOzQhLHCsk57H0eNt4D2SXonc/z0MGNPLHnCdYtXsdXar8CQH1zN89sPsJzOyJ0DUSZOSWbVb9TxZcWVNgH/CKhqrT0tXCw8yANHQ3Ut9dT317PB50fjCgwlTmVzC6czaz8WUzLnsbU/l6mHniZqfVvUhQ9Sdr0a72CMvcWCCfuQbF/cJgNOyJs2B5hZ2MHInBVZQE3zCnh+ktLuLKywE7WSIFAFBIRWQ48DKQDj6rqP4+aHgaeAhYBHwGrVPVDN20dsAYYBtaq6kvjec5ErJCMoafV2wXx/n9C+UKGVj3Nt+ueYn3delbNWcWaud/if3cf54Vdx3jvSAcZ6cLyy8u4Y3EVS2cV2y4HA0BMYxztPsqBjgOni0tDRwNHuo4Q1ZHX1gqRRmksxtTBAabGoDSviqrya7hs7m3MKZ1PZvqZx1MOtvbwPzubeGN/CzsjHahCTjjEgukFLJpRyKIZhSyYXkhO2I7DXWi+FxIRSQcOADcCEWArcIeq7o2b50+AK1X1HhFZDdymqqtEZB6wHlgMlAOvApe6xc76nIlYIRmlpQ7eexq2PQHRAfS6+9hSu4zvbH+YuvZ9XJa9gpMtt/B+YyeqMK8sjy8uKOfLCyspzgn7nd58SsQ0RttAG829zRzvO05LXwvNvc009x6nua2elu4IzcO9DLgvJCGFmnARlxdfxryKa6mdtoCagpoRxaW9d5C36lvZcqiN7Yfb2d/cjap3ObDq4mxqy3KpnZZHbVketeV5lOVNsqsmJCEIhWQp8KCq3uSG1wGo6j/FzfOSm+c3IhICjgMlwP3x856azy121udM5KIsJEMDMNAJAx3Q0UjsRD3RY7uQw2/T1xPhRCjMltJFvJJbw56TdfTpMWJD+ZxsXkGs5wqurCzgs3NKWXFVGZeUJN79YEyydDjK8QMvsrt+E7tbd7FnqIM94Ux60rxjbSHgklAel2aVUZFbSUVeNRX5MyjKrSQvt5y0tAL2Hutjx+EO9jV1sbepiyNxl6sPh9KoKsqiqnAy04uyqCicTFF2mKLsDAqzMinODpMdTmdShnez3WUjjbeQTOS2YAXQGDccAa4Zax5VjYpIJ1Dsxr87atlTHVWc6zkvmK8/uZVDJ3oBUKB/0q/on/RrN+QV4FJtJY0Y8eVYR92PHg+KypnznG05BQRGLDf28yeYJt64gaI0hour3NhGtP8oocFqqsN38rtVy5m/tIRrZhWTP/ncvxkxJlmSHqKsdiVltSu5EaCvjVjjFo5G/o+9ze+xr6eRuv5Wtgy00dJZhybYnZqpSoZ6K7NQCdRMEdIBUfU+BwpNw3CsBWgZ9fqJMp1jejI6JZ9eyRr3/AU9Xyc0PC2p13xx7Wcm/MoBE1lIEr0Ho9dvY80z1vhEpwQl3KQSkbuBuwGmTz+/rltnFGd7b4BL0xor5USsytuOBgShsn+AdIa9yC75qalxaeKGPn4sgJ4ejvtX4ofPmJpgaOR4lTSGJZPhtEyG0zKIpmcxnJkPGVlkZYQpnFRMeU4JtSUzWVJ5BbnhyefVPsZccFlFpM1ZTtWc5VQBN4F3BlhvK4NtB2lqb+BYd4TOgY/o7G+nK9pLz/BJhmJRohr17mPDDBHDlZGPVxCqxIBYLEZMvVOOY6qoG6+qqILi7oURaxdNvKr5RELpJWSGxv+j3JnFBUyW3KReUy54OTzTRBaSCFAVN1wJHBtjnojbtZUPtJ1j2XM9JwCq+gjwCHi7ts7nP/A3K+aNGrMQ+Mb5PJUx5nyJQE4pmTmlzJi+hBl+5zFnmMiT/rcCNSIyU0QygdXAplHzbALuco9vB15X76DNJmC1iIRFZCZQA2wZ53MaY4xJoQnbInHHPO4FXsI7VfdxVd0jIn8HbFPVTcBjwNMi0oC3JbLaLbtHRP4b2AtEgW+q6jBAouecqP+DMcaYc7MfJBpjjElovGdt2fUsjDHGJMUKiTHGmKRYITHGGJMUKyTGGGOSYoXEGGNMUi6Ks7ZEpBU4/AkWmQKcu/NpfwQ1W1BzQXCzBTUXBDdbUHNBcLMlk2uGqpaca6aLopB8UiKybTynvPkhqNmCmguCmy2ouSC42YKaC4KbLRW5bNeWMcaYpFghMcYYkxQrJIk94neAswhqtqDmguBmC2ouCG62oOaC4Gab8Fx2jMQYY0xSbIvEGGNMUqyQJCAifyEiKiJT3LCIyA9EpEFEdonIwhTn+baI1LnX3igiBXHT1rlc+0XkplTmisuw3L1+g4jc70cGl6NKRN4QkX0iskdE7nPji0TkFRGpd/eFPuVLF5H3ROQFNzxTRDa7XD91XSP4katARDa4v7F9IrI0QG325+693C0i60Vkkh/tJiKPi0iLiOyOG5ewjVK9vhgjW0rXGVZIRhGRKuBG4Ejc6C/g9YlSg9fr4o9SHOsV4HJVvRI4AKwDEJF5eJfevwxYDvxQRCa2T81R3Ov9G14bzQPucLn8EAW+paq1wBLgmy7L/cBrqloDvOaG/XAfsC9u+F+Ah1yudmCNL6ngYeCXqjoXuAovo+9tJiIVwFrgalW9HK/riNX4027/gfcZizdWG6V6fZEoW0rXGVZIzvQQ8JeM7MJ3JfCUet4FCkSkLFWBVPVlVY26wXfxeoY8lesnqnpSVQ8BDcDiVOVyFgMNqnpQVQeBn7hcKaeqTaq6wz3uxlshVrg8T7rZngS+mOpsIlIJ3AI86oYF+BywwedcecDv4fUNhKoOqmoHAWgzJwRMFq8H1SygCR/aTVXfwuszKd5YbZTS9UWibKleZ1ghiSMitwJHVXXnqEkVQGPccMSN88PXgF+4x0HIFYQMZxCRamABsBmYqqpN4BUboNSHSN/H+4ISc8PFQEfch92vdpsFtAJPuN1uj4pINgFoM1U9CnwHb+9AE9AJbCcY7QZjt1HQPhMTvs6YyD7bA0lEXgWmJZj0APDXwO8nWizBuAt6utvZcqnq826eB/B23zyTqlzjEIQMI4hIDvAz4M9Utcv78u9rnhVAi6puF5EbTo1OMKsf7RYCFgJ/qqqbReRh/Nv1N4I75rASmAl0AM/i7TYaLWinngblvU3ZOuOiKySquizReBG5Au8Pdqdb8VQCO0RkMV7VroqbvRI4lopccfnuAlYAn9ePz9me8FzjEIQMp4lIBl4ReUZVn3Ojm0WkTFWb3C6GlhTHug64VURuBiYBeXhbKAUiEnLfrv1qtwgQUdXNbngDXiHxu80AlgGHVLUVQESeA64lGO0GY7dRID4TqVxn2K4tR1V/q6qlqlqtqtV4Db5QVY8Dm4A73dkYS4DOU5u0qSAiy4G/Am5V1b64SZuA1SISFpGZeAf3tqQql7MVqHFn0mTiHcjblOIMwOnjDo8B+1T1e3GTNgF3ucd3Ac+nMpeqrlPVSvd3tRp4XVX/AHgDuN2vXC7bcaBRROa4UZ8H9uJzmzlHgCUikuXe21PZfG83Z6w28nV9AT6sM1TVbgluwIfAFPdY8M5M+gD4Ld5ZJKnM0oC3X/N9d/tx3LQHXK79wBd8aqub8c4M+QBvV5xf79ln8DbTd8W11c14xyNeA+rdfZGPGW8AXnCPZ7kPcQPebpuwT5nmA9tcu/0cKAxKmwF/C9QBu4GngbAf7QasxztOM4T3JXPNWG2U6vXFGNlSus6wX7YbY4xJiu3aMsYYkxQrJMYYY5JihcQYY0xSrJAYY4xJihUSY4wxSbFCYowxJilWSIwxxiTFCokxE0hEfi4i212fGne7cWtE5ICIvCki/y4i/+rGl4jIz0Rkq7td5296Y8bHfpBozAQSkSJVbRORyXiXk7kJeAfvQondwOvATlW9V0T+C/ihqv5aRKYDL6nXt4oxgXbRXbTRmBRbKyK3ucdVwB8Bv1LVNgAReRa41E1fBsyLu1pxnojkqte3ijGBZYXEmAniLhm/DFiqqn0i8ibe9Y3G2spIc/P2pyahMReGHSMxZuLkA+2uiMzF6/43C7heRApdr39fjpv/ZeDeUwMiMj+laY05T1ZIjJk4vwRCIrIL+Hu8Lk+PAv+I13Pjq3iXRe90868FrhaRXSKyF7gn9ZGN+eTsYLsxKSYiOara47ZINgKPq+pGv3MZc75si8SY1HtQRN7H62PjEF4fIMZ8atkWiTHGmKTYFokxxpikWCExxhiTFCskxhhjkmKFxBhjTFKskBhjjEmKFRJjjDFJ+X/mg8MdzP/kDwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "text.Age[text.Pclass == 1].plot(kind='kde')\n",
    "text.Age[text.Pclass == 2].plot(kind='kde')\n",
    "text.Age[text.Pclass == 3].plot(kind='kde')\n",
    "plt.xlabel(\"age\")\n",
    "plt.legend((1,2,3),loc=\"best\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "【思考】上面所有可视化的例子做一个总体的分析，你看看你能不能有自己发现"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#思考题回答\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "【总结】到这里，我们的可视化就告一段落啦，如果你对数据可视化极其感兴趣，你还可以了解一下其他可视化模块，如：pyecharts，bokeh等。\n",
    "\n",
    "如果你在工作中使用数据可视化，你必须知道数据可视化最大的作用不是炫酷，而是最快最直观的理解数据要表达什么，你觉得呢？"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
